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Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008 CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December 2008 William H. Hsu Department of Computing and Information Sciences, KSU KSOL course page: http://snipurl.com/v9v3 Course web site: http://www.kddresearch.org/Courses/Fall-2008/CIS730 Instructor home page: http://www.cis.ksu.edu/~bhsu Reading for Next Class: Chapters 1-14, 22 – 23, 26, Russell & Norvig 2 nd edition Philosophy of Mind Discussion: Final Exam Review

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Page 1: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Lecture 41 of 42

Wednesday, 10 December 2008

William H. Hsu

Department of Computing and Information Sciences, KSU

KSOL course page: http://snipurl.com/v9v3

Course web site: http://www.kddresearch.org/Courses/Fall-2008/CIS730

Instructor home page: http://www.cis.ksu.edu/~bhsu

Reading for Next Class:

Chapters 1-14, 22 – 23, 26, Russell & Norvig 2nd edition

Philosophy of MindDiscussion: Final Exam Review

Page 2: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

PHILOSOPHY OF MINDPHILOSOPHY OF MIND

© 2006 Hilary Greaveshttp://www.rci.rutgers.edu/~hgreaves/teaching/phil103/lectures.htm

Page 3: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The Two Central Problems in the Philosophy of Mind

The Two Central Problems in the Philosophy of Mind

The Problem of Other Minds How can I know that other minds exist?

Vs.

ThoughtsFeelings

Sensory experiencesetc.

Page 4: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The Problem of Other Minds (cont’d)The Problem of Other Minds (cont’d)

How can I know what is going on in other minds?

AfraidLooking

forward to next

summer’s holiday

Vs.

Page 5: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The Mind – Body ProblemThe Mind – Body Problem

How are minds and their contents related to the physical, chemical & biological world?

MIND

MIND

Page 6: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Two (apparently unique) aspects of mental phenomena

Two (apparently unique) aspects of mental phenomena

Consciousness Your mind is conscious. But as far as we know, ordinary bits of physical matter are not

conscious. “What is consciousness?”

You know!

CONSCIOUS-NESS

CONSCIOUS-NESS

Page 7: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Intentionality (or aboutness)Intentionality (or aboutness)

Mental states can be about other things in the world. Your thought that Bush is a jerk is about George Bush.

Bush is a jerk

aboutness

Page 8: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Intentionality/aboutnessIntentionality/aboutness

Ordinary physical objects aren’t about anything. The desk is not about the chair.

aboutness

Page 9: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Intentionality/aboutnessIntentionality/aboutness

(A painting can be about something...

aboutness

Page 10: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Intentionality/aboutnessIntentionality/aboutness

... But that’s only because it was painted by someone who was thinking about the thing he was painting.)

aboutness

Page 11: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Terminological noteTerminological note

‘Intentionality’ has no special connection to intentions. Bush’s knowledge that Saddam Hussein is alive is about Saddam. Tom’s fear of the dentist is about dentists. My desire that Australia will be fun is about Australia. Your intention to eat dinner this evening is about your dinner.

Mental states that have ‘aboutness’ (=‘intentionality’)

Page 12: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Intentionality/aboutnessIntentionality/aboutness

The challenge: an adequate explanation of what minds are should explain how mental goings-on can be about things, since ordinary physical goings-on do not have this feature.

Page 13: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Why explaining ‘aboutness’ is difficultWhy explaining ‘aboutness’ is difficult

thoughts about things that exist There's no such thing as 'Intentional string'.

The asymmetry problem: Aboutness can't be resemblance

Bush is a jerk

aboutness

Page 14: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

An attempt to explain what ‘aboutness’ isAn attempt to explain what ‘aboutness’ is

My thought is about Bush = my thought was ‘caused in the right sort of way’ by Bush.

Bush is a jerk

aboutness

Causal chain

Page 15: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Why the causal account doesn’t workWhy the causal account doesn’t work

We can also think about things that don’t exist.

It would be fun to

ride a unicorn.

Causal chain??

Page 16: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Cartesian DualismCartesian Dualism

Minds and Matter are two fundamentally different kinds of “substances”

ThoughtsFeelings

Sensory experiencesetc.

Physical stuff (matter)

Mental stuff (minds)

Consciousness

Intentionality

Thought

Page 17: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems with Cartesian Dualism (I)Problems with Cartesian Dualism (I)

It's mysterious what the "mind substance" is. What it’s not:

Not made of matterNot located in spaceNot ‘extended’ ...

Page 18: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems with Cartesian Dualism (II)Problems with Cartesian Dualism (II)

It’s a mystery how minds can interact causally with things made of matter. Mental causing physical:

I’m going to raise my arm.

Causes

Mental substance (mind) Matter

Page 19: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems with Cartesian Dualism (II)Problems with Cartesian Dualism (II)

Physical causing mental:

Sound experienc

e

sound waves

Causes

Page 20: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems with Cartesian Dualism (III)Problems with Cartesian Dualism (III)

Are dualism and gradual evolution consistent?

??

Page 21: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems with Cartesian Dualism (IV)Problems with Cartesian Dualism (IV)

It makes the Other Minds problem very hard to solve.

Vs.

ThoughtsFeelings

Sensory experiencesetc.

Page 22: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

“Materialist” solutions to the Mind – Body Problem

“Materialist” solutions to the Mind – Body Problem

Materialism: The claim that everything in the universe is made up of matter.

Page 23: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The advance of materialismThe advance of materialism

The advance of science has made materialism look very plausible to many philosophers & scientists. Astronomy: The heavenly bodies are made of matter and obey the laws of physics.

earth

“heavens”

Page 24: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The advance of materialismThe advance of materialism

Evolutionary biology: No non-material processes or forces (e.g. God) are needed to explain the design in the biological world.

Spooky stuff?

Spooky stuff?

Page 25: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The advance of materialismThe advance of materialism

Advances in physiology & understanding the genetic code: There is no need for a “life force” ("elan vital").

“life force”

“life force”

Live tiger

Dead tiger

Page 26: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The advance of materialismThe advance of materialism

Advances in understanding the way the brain works – helped by imaging technology – makes it increasingly plausible to believe that mental phenomena like thought and consciousness might be explained in terms of brain processes

Spooky stuff??

Spooky stuff??

Page 27: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The “Reductive Materialism” hypothesisThe “Reductive Materialism” hypothesis

The “Reductive Materialism” hypothesis: social sciences can be reduced to (i.e. explained by appeal to)

psychology psychology can be reduced to biology biology can be reduced to chemistry chemistry can be reduced to physics

Page 28: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Behaviorism Behaviorism

The way we tell that (e.g.) you're in pain is by observing your behavior. The inspiration for behaviorism: maybe what it means to say you're in pain also involves your behavior.

Page 29: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

‘Behaviorism’ in psychology‘Behaviorism’ in psychology

Methodological (or: psychological) behaviorists included B. F. Skinner Methodological behaviorism: If there is anything more to mental states than dispositions

to behave in certain ways, that 'extra bit' has nothing to do with science.

I am feeling angry

Page 30: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

‘Behaviorism’ in philosophy‘Behaviorism’ in philosophy

Analytical (or: philosophical) behaviorists included Ludwig Wittgenstein and Gilbert Ryle: there is nothing more.

I am feeling angry

EQUALS

Page 31: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Analytical behaviorismAnalytical behaviorism

Analytical behaviorism: Claims about mental states and processes can be “translated” into claims about patterns of behavior.

Example:

“Tom has a toothache” = “Tom moans; Tom says his tooth hurts; if someone touches Tom’s tooth, Tom screams; etc."

Page 32: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Analytical behaviorismAnalytical behaviorism

“Jenny is hungry” = ?? “Jason wishes he could quit school” = ??

Page 33: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Behaviorism and the Problem of Other MindsBehaviorism and the Problem of Other Minds

I am feeling angry

EQUALS

Page 34: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems for behaviorism (I): Undefinable mental states

Problems for behaviorism (I): Undefinable mental states

Some mental states don't seem to be definable in this way. Listening to Bob Dylan Thinking about how big the universe is

Page 35: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems for behaviorism (II): Circular definitions

Problems for behaviorism (II): Circular definitions

Behaviorist “definitions” of mental state terms all turned out to be circular (or just plain wrong).

‘Tom believes it will rain today’ = ‘Tom will either stay at home or drive to school today’

IF Tom wants to stay dry, and Tom doesn’t believe there’s a shelter at the bus stop, and...

Page 36: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems for behaviorism (II): Circular definitions

Problems for behaviorism (II): Circular definitions

“James believes the exam will be hard”= ....??

Page 37: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems for behaviorism (III):The 'inverted spectrum' problemProblems for behaviorism (III):

The 'inverted spectrum' problem

It seems possible for one person to have their spectrum of color experiences 'inverted' relative to another's. But according to behaviorism, this is not possible.

The flower looks yellow

The flower looks yellow

Page 38: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems for behaviorism (IV): Some wrong predictions

Problems for behaviorism (IV): Some wrong predictions

For behaviorists, two people who behaved in just the same way would have the same mental states. But there are cases in which this is clearly crazy. Dennett’s thought experiment: curare plus “amnestic”

“How did it feel?”

Administer general

anaesthetic

operation

Page 39: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problems for behaviorism (IV): Some wrong predictions

Problems for behaviorism (IV): Some wrong predictions

“Curare”: paralyses all voluntary muscles “Amnestic”: Has no effect until 2 hours after ingestion, whereupon it wipes out

memory of those two hours

“How did it feel?”

Administer curare + amnestic

operation

Page 40: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

... The problem (an argument against behaviorism):

... The problem (an argument against behaviorism):

(P1) Behaviorism predicts that the patient who is given general anaesthetic has the same experiences as the patient who is given curare + amnestic.

(P2) But that’s wrong! One is unconscious, and the other is in excruciating pain.

Therefore,

(C) Behaviorism is false.

Page 41: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The (Type-Type) Identity TheoryThe (Type-Type) Identity Theory

The type – token distinctionthe the

Greaves's belief that snow is white & your belief that snow is white.

Snow is white

Snow is white

Page 42: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The (Type-Type) Identity TheoryThe (Type-Type) Identity Theory

The type-type identity theory: Mental state types are identical with brain state types

Examples of mental state types: the belief that snow is white a burning pain in the index finger the thought that 17 is a prime number

Example of a type-type identification: "Pain is c-fibers firing"

pain

Same event (type)

Page 43: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

How the theory deals with the Other Minds Problem

How the theory deals with the Other Minds Problem

..??

Page 44: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Problem for the (Type) Identity Theory: “Chauvinism” about the mental

Problem for the (Type) Identity Theory: “Chauvinism” about the mental

According to type-type identity theory: Animals with brains significantly different from

ours can’t feel pain or have other mental states If there are organisms in the universe whose

chemical composition is different from ours, they can’t feel pain or pleasure, and they can’t think.

Extra-terrestrials can’t even think about math. pain

7x5=35

Page 45: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Functionalism (aka “machine functionalism”)

Functionalism (aka “machine functionalism”)

The emergence of computers and the computer model of the mind. Computers are symbol manipulators Programs specify how the symbols are to be manipulated.

ADDING PROGRAM

2

35

Page 46: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Programs and physical devicesPrograms and physical devices

Many different sorts of physical devices can run the same program...

Page 47: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Minds and programsMinds and programs

Minds are to brains as programs are to computers “The mind is the brain’s program”

Inputs (mouse clicks, keyboard

strokes)

Outputs (screen displays; printouts)

Inputs (light rays; hammers hitting

thumb)

Outputs (body movements; screams;

sentences spoken)

PROGRAM

PROGRAM

Page 48: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

‘Functional states’‘Functional states’

Mental state concepts are functional concepts; mental states are functional states (not physical states)

‘Functional states’ for the adding program:

Input 2 Input 3

Output 5

Computer state: ‘remember that a 2 has been input, and get ready to

add a 2nd number’

Computer state: ‘ready to do an add calculation’

Functional states

Page 49: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

‘Functional states’ cont’d‘Functional states’ cont’d

Desire to stay dry

Belief that there is no

shelter at the bus stop

Input: See that it’s raining

Belief that it’s raining

Output: Look for car keys

Functional states

Page 50: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

What is...What is...

The functionalist solution to the Other Minds Problem?

The functionalist solution to the chauvinism problem?

pain

pain

?

?

Page 51: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Strong AIStrong AI

A radical (?) implication of functionalism: “Strong AI” -- It is possible to build artificial minds with real mental states. A computer running the same program that your brain

is running would have the same mental states that you have.

It would be conscious, and thus feel pains and pleasures, have emotions, etc.

It would have thoughts with real intentionality.

Page 52: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Can machines think?Can machines think?

If they can, then the fact that functionalism predicts that they can counts in favor of the functionalist theory. If not, it counts as an objection to functionalism.

The Turing test – if a machine passes the Turing test, we cannot tell that it isn't really thinking It is a further step to say that if a machine passes the

Turing test, then it is thinking. But perhaps (?) this extra step is very plausible.

“What do you think about Saddam’s

trial?”

“I don’t normally approve of the death penalty, but this guy deserves everything he gets.”

Page 53: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Searle’s Critique of Functionalism and Strong AI

Searle’s Critique of Functionalism and Strong AI

Roger Schank’s project: Getting a computer to understand stories and answer questions about them the way people do.

A man went into a restaurant and ordered a hamburger. When the hamburger arrived it was burnt to a crisp, and the man stormed out of the restaurant angrily, without paying for the burger or leaving a tip.

Did the man eat the hamburger?

No

Page 54: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

What Schank’s computer is doingWhat Schank’s computer is doing

It’s manipulating symbols. Does this mean that it understands what the symbols mean (i.e.

understands the story, and understands its replies to the questions)?

Thinking of a restaurant

sceneaboutness

Page 55: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Searle’s argumentSearle’s argument

Understanding is an ‘intentional state’ – when you understand a story, you understand what it is about.

Searle’s going to argue that the computer could be manipulating symbols in all the right ways, without understanding the story (= without having ‘intentionality’).

The "Chinese room argument": An argument that passing the Turing test is not sufficient or thinking.

Page 56: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

The setup of the "Chinese room”The setup of the "Chinese room”

Input: Output:

Page 57: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Searle’s argumentSearle’s argument

(P1) Neither Searle nor any other part of the Chinese Room really understands Chinese.Therefore,(C1) The Chinese Room [i.e. the system] does not understand Chinese. (From (P1))(P2) But the Chinese Room perfectly simulates someone who does understand Chinese.Therefore,(C2) Simulating understanding is not sufficient for having understanding. (From (P2), (C1))Therefore,(C3) Even if Schank's computer perfectly simulates human understanding of stories, it does not

follow that Schank's computer really understands stories.

Page 58: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Searle’s Account of IntentionalitySearle’s Account of Intentionality

It is a “causal product” of the right kind of biological system.

ADDING PROGRAM

2

35

adding

Not a “causal product” of the

symbol manipulation

Page 59: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Searle’s Account of IntentionalitySearle’s Account of Intentionality

Pick up brick and throw at window

Window

breaks

Causal product of brick being

thrown

Page 60: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Searle’s Account of IntentionalitySearle’s Account of Intentionality

Searle’s Account of Intentionality It cannot be created simply by

symbol manipulation.

Searle makes the same claims for consciousness. intentionalit

y

intentionality

intentionality

intentionality

???

Page 61: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

A Problem for Searle’s ViewA Problem for Searle’s View

Either intentionality and consciousness are restricted to brains like ours in which case he is committed to chauvinism

Or brains quite different from ours can also produce intentionality & consciousness in which case the Other Minds Problem looks to be unsolvable since

we can’t tell which brains just simulate consciousness & intentionality & which really have it.

Page 62: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Some questions for YOU to ponderSome questions for YOU to ponder

Can a suitably sophisticated computer which is NOT made out of “meat” like the human brain have real intentionality (and thus real thoughts)? have real consciousness (feel real pain & pleasure, and know what it

is like to experience colors & tastes)?

Does it matter? If so, why?

Page 63: Computing & Information Sciences Kansas State University Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence Lecture 41 of 42 Wednesday, 10 December

Computing & Information SciencesKansas State University

Wednesday, 10 Dec 2008CIS 530 / 730: Artificial Intelligence

Some questions for YOU to ponderSome questions for YOU to ponder

Can an extra-terrestrial with a suitably sophisticated brain that is very different from our brain have real intentionality (and thus real thoughts)? have real consciousness (feel real pain & pleasure, and know what it is like to

experience colors & tastes)?

How can we KNOW whether the computer or the extra-terrestrial has REAL consciousness and REAL intentionality?